Halil Utku Unlu

14 papers A* 1C 1Journal 6Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
J. Intell. Robotic Syst.
Dimitris Chaikalis, Halil Utku Unlu, Anthony Tzes, Farshad Khorrami
2024 A* conf
ICRA
Halil Utku Unlu, Vinicius Mariano Gonçalves, Dimitris Chaikalis, Anthony Tzes, Farshad Khorrami
2024 J jnl
CoRR
Halil Utku Unlu, Anthony Tzes, Prashanth Krishnamurthy, Farshad Khorrami
2024 conf
ICPR (30)
Shuaihang Yuan, Halil Utku Unlu, Hao Huang, Congcong Wen, Anthony Tzes, Yi Fang
2024 J jnl
CoRR
Shuaihang Yuan, Halil Utku Unlu, Hao Huang, Congcong Wen, Anthony Tzes, Yi Fang
2024 conf
ICPR (30)
Halil Utku Unlu, Shuaihang Yuan, Congcong Wen, Hao Huang, Anthony Tzes, Yi Fang
2024 J jnl
CoRR
Halil Utku Unlu, Shuaihang Yuan, Congcong Wen, Hao Huang, Anthony Tzes, Yi Fang
2023 conf
ECMR
Halil Utku Unlu, Anthony Tzes, Prashanth Krishnamurthy, Farshad Khorrami
2023 J jnl
J. Intell. Robotic Syst.
Halil Utku Unlu, Dimitris Chaikalis, Athanasios Tsoukalas, Anthony Tzes
2023 conf
ICARA
Halil Utku Unlu, Dimitris Chaikalis, Athanasios Tsoukalas, Anthony Tzes
2022 conf
ICIAP Workshops
Daitao Xing, Halil Utku Unlu, Nikolaos Evangeliou, Anthony Tzes
2022 conf
ICIAP Workshops
Angelo Coluccia, Alessio Fascista, Arne Schumann, Lars Sommer, Anastasios Dimou, Dimitrios Zarpalas, Nabin Sharma, Mrunalini Nalamati, Ogulcan Eryuksel, Kamil Anil Ozfuttu, Fatih Cagatay Akyon, Kadir Sahin, Efe Buyukborekci, Devrim Cavusoglu, Sinan Altinuc, Daitao Xing, Halil Utku Unlu, Nikolaos Evangeliou, Anthony Tzes, Abhijeet Nayak, Mondher Bouazizi, Tasweer Ahmad, Artur Gonçalves, Bastien Rigault, Raghvendra Jain, Yutaka Matsuo, Helmut Prendinger, Edmond Jajaga, Veton Rushiti, Blerant Ramadani, Daniel Pavleski
2019 C conf
IECON
Halil Utku Unlu, Phillip Stefan Niehaus, Daniel Chirita, Nikolaos Evangeliou, Anthony Tzes
2019 J jnl
IEEE Robotics Autom. Lett.
Halil Utku Unlu, Naman Patel, Prashanth Krishnamurthy, Farshad Khorrami
redb/extractors/js_extractors/js_content.py
← Index redb/extractors/js_extractors/js_content.py python
"""Persists raw + normalised text into the generic `code_text_content` table.

Reads the raw source and the deobfuscation result directly from the shared
JSContext so no extra compute happens here — both values are computed once
per sample (the source at JSContext construction, the deobfuscation lazily
on first access) and reused by any extractor that needs them.

`text_normalized` is left NULL when the deobfuscation pass produced no
output, so analysts can distinguish "we tried and got nothing" from
"normalisation succeeded".
"""

import inspect
from datetime import datetime, timezone
from typing import Any

from redb.extractors.enum import Tag
from redb.extractors.js_extractor import JSExtractor


class JSContentExtractor(JSExtractor):

    def __init__(
        self, filepath, log, exporters=None, index_prefix=None,
        known_benign=False, known_malicious=False, source=None, context=None,
    ):
        super().__init__(
            filepath, log, exporters, index_prefix,
            known_benign, known_malicious, source, context=context,
        )
        self.content_row = None
        self.log.debug(inspect.currentframe().f_code.co_name)

    def tag(self):
        return Tag.JS_CONTENT.value

    def extract(self):
        src = self.js_source
        if not src:
            return None

        deobfuscated, normalizer_used = self._context.deobfuscated

        self.content_row = {
            "content_type": self._context.content_type,
            "text_raw": src,
            "text_normalized": deobfuscated,  # may be None
            "normalizer_used": normalizer_used,  # may be None
        }
        return self.content_row

    def prepare_export_data(self, exporter_type: str) -> Any:
        if exporter_type != "ClickHouseExporter":
            return None
        if not self.content_row:
            return None

        r = self.content_row
        data = [[
            self.sha256,
            r["content_type"],
            r["text_raw"],
            r["text_normalized"],
            r["normalizer_used"],
            datetime.now(timezone.utc),
        ]]

        column_names = [
            "sha256",
            "content_type",
            "text_raw",
            "text_normalized",
            "normalizer_used",
            "analysis_date",
        ]

        column_type_names = [
            "FixedString(64)",
            "LowCardinality(String)",
            "String",
            "Nullable(String)",
            "Nullable(String)",
            "DateTime64(3, 'UTC')",
        ]

        return (data, column_names, column_type_names)

    def get_clickhouse_table(self) -> str:
        return "code_text_content"